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Day Medical Image Processing Jobs (NOW HIRING)

Experience with image processing and scientific analysis tools such as MATLAB, Python, ENVI/IDL ... days with an anticipated close date of no earlier than 3 days after the original posting date as ...

... 14 days - totaling 80 hours worked, and have every other Friday off * Provides image scienceexpertiseto conduct image/product quality analysis associated with collection and processing for ...

$149K - $180K/yr

Demonstrated experience in tomographic image reconstruction, CT system modelingand data correction, and medical image processing * Strong understanding of inverse problems, numerical methods ...

Senior Camera Image Quality Engineer

San Francisco, CA · On-site

$104K - $141K/yr

The ideal candidate will be knowledgeable in a variety of areas including optics, image processing ... Medical, dental, and vision insurance * Easy access to snacks and drinks We may use artificial ...

Senior Camera Image Quality Engineer

San Francisco, CA · On-site

$104K - $141K/yr

The ideal candidate will be knowledgeable in a variety of areas including optics, image processing ... Medical, dental, and vision insurance * Easy access to snacks and drinks We may use artificial ...

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How much do day medical image processing jobs pay per hour?

As of Sep 14, 2026, the average hourly pay for day medical image processing in the United States is $17.62, according to ZipRecruiter salary data. Most workers in this role earn between $16.83 and $18.03 per hour, depending on experience, location, and employer.

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Infographic showing various Day Medical Image Processing job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 14% Part Time, and 6% Contract. Highlights an 87% Physical, 1% Hybrid, and 12% Remote job distribution, with an average salary of $36,656 per year, or $17.6 per hour.

Postdoctoral Fellow - Radiation Physics - Research

Houston, TX • On-site

$46K - $63K/yr

Full-time

Re-posted 13 days ago


Job description

Job Summary:
The University of Texas MD Anderson Cancer Center is one of the world's premier comprehensive cancer centers, internationally recognized for research and training. The postdoctoral fellow will work in a collaborative team focusing on Medical Physics, Imaging Analysis, and Artificial Intelligence, contributing to projects that advance radiotherapy through AI-driven methods and automated QA/QC methodologies.
Responsibilities:
• Designing and translating AI-driven methods for medical image registration, synthetic imaging, segmentation, and treatment planning to advance radiotherapy.
• Investigating breakthrough AI technologies (e.g., LLMs, generative AI) to evaluate their potential in reducing clinician burden and improving patient safety across radiation-oncology workflows.
• Developing automated QA/QC methodologies for the safe implementation and monitoring of AI systems in radiation therapy.
• Creating decision-support systems for online adaptive radiotherapy (oART) on MR-linacs and CT/CBCT-linacs.
• Contribute to other high-impact clinical projects, such as Spatially Fractionated Radiotherapy (SFRT), Stereotactic Body Radiation Therapy (SBRT), Intraoperative Radiation Therapy (IORT), and Brachytherapy.
Qualifications:
Required:
• Candidates must hold a recent Ph.D. in physics, electrical engineering, biomedical engineering, computer science, applied mathematics, or a related discipline.
• Strong programming skills are essential.
• The candidate should demonstrate excellent written and verbal communication skills.
Preferred:
• Prior experience with programming (MATLAB, Python, C/C++) and image processing is preferred.
• Familiarity with machine/deep learning and high-performance computing is a plus but not required.
Company:
The University of Texas MD Anderson Cancer Center is one of the world’s most respected centers devoted exclusively to cancer patient care, research, education and prevention. Founded in 1994, the company is headquartered in Houston, USA, with a team of 10001+ employees. The company is currently Late Stage.